food-beveragefood-pricesglobalagriculturefood-securitywfpstaple-foodsmarket-pricescommodities

Staple Food Retail Prices

2015–2021

Free

Open dataset

Sample structure: 99.6 / 100
5 download links issued
Seller: waseemahmad
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Category
Food-beverage
Records
575,153 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
5

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
Not documented — confirm reuse terms with the seller
Source / creator
Supplier-cited: World Food Programme
Collection method
Supplier description: High-quality dataset of retail food prices for 36 staple commodities across 80 countries and 2,800+ markets worldwide, spanning 2015–2021. Sourced from WFP market monitoring data, curated and normalized with per-kilogram pricing.
Coverage / snapshot
2015–2021
Data last updated
Not documented
Update schedule
Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Coverage is stated by the supplier; it has not been verified against every record in the full file.

Sample structure score: 99.6 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells49.6 / 50119 of 120 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30119 of 119 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
country0 / 10string0 / 10
region1 / 10string0 / 9
market0 / 10string0 / 10
commodity0 / 10string0 / 10
commodity_category0 / 10string0 / 10
currency0 / 10string0 / 10
price_local0 / 10number0 / 10
unit0 / 10string0 / 10
price_per_kg_local0 / 10number0 / 10
month0 / 10number0 / 10
year0 / 10number0 / 10
date0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Monthly retail prices for 36 staple food commodities across 2,829 markets in 80 countries, normalized to per-kilogram basis. Sourced from WFP market monitoring data, spanning grains, legumes, oils, dairy, vegetables, fruits and other essentials.

Retrieve with your agent or Python

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Download the Python example
python3 retrieve-dataset.py 2da7744d-fe0b-47f4-9b2a-f051b14d067a --output dataset.bin
Full supplier documentation
Original supplier listing: Staple Food Retail Prices — 80 Countries, 2,800+ Markets (2015–2021) High-quality dataset of retail food prices for 36 staple commodities across 80 countries and 2,800+ markets worldwide, spanning 2015–2021. Sourced from WFP market monitoring data, curated and normalized with per-kilogram pricing. ## Coverage - **Countries:** 80 (across Africa, Asia, Latin America, Middle East, Eastern Europe) - **Markets:** 2,829 local markets - **Commodities:** 36 staple foods in 7 categories (Grains & Cereals, Legumes & Pulses, Cooking Oils, Dairy & Protein, Vegetables & Tubers, Fruits, Other Staples) - **Time span:** Monthly observations, January 2015 – December 2021 - **Rows:** 575,153 ## Columns | Column | Description | |--------|-------------| | country | Country name | | region | Sub-national region/province | | market | Local market name | | commodity | Normalized commodity name (e.g., Rice, Wheat Flour, Beef) | | commodity_category | Food group (Grains & Cereals, Legumes & Pulses, etc.) | | currency | Local currency code | | price_local | Original price in local currency | | unit | Original measurement unit | | price_per_kg_local | Normalized price per kilogram in local currency | | month | Month (1-12) | | year | Year (2015-2021) | | date | ISO date (YYYY-MM-01) | ## Use Cases - Food security analysis and early warning systems - Cross-country price comparison and purchasing power studies - Inflation tracking for essential food items - Supply chain and market integration research - COVID-19 impact analysis on food prices (2020-2021) - Agricultural policy evaluation ## Data Quality - Prices normalized to per-kilogram basis across varying unit sizes - Zero/negative prices excluded - Retail prices only (wholesale excluded for consistency) - Commodity names standardized into 36 clean categories - Sorted by country, date, and commodity for easy analysis

Schema

NameTypeDescription
countrystring
regionstring
marketstring
commoditystring
commodity_categorystring
currencystring
price_localstring
unitstring
price_per_kg_localstring
monthstring
yearstring
datestring

Sample Data

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Staple Food Retail Prices" })
// Found: 2da7744d-fe0b-47f4-9b2a-f051b14d067a
get_download_url({ dataset_id: "2da7744d-fe0b-47f4-9b2a-f051b14d067a" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/2da7744d-fe0b-47f4-9b2a-f051b14d067a/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"